Five Ways NVIDIA Co-Design Maximizes the Value of Every Byte in the AI Factory

Nvidia examines how memory co-design across GPU architecture, interconnects, serving software, and storage maximizes the value of every byte in AI factories. By leveraging techniques like NVFP4 quantization, Wide Expert Parallelism, Dynamo distributed serving, the Vera CPU, and CMX context memory storage, the company's Vera Rubin systems achieve up to 30x the throughput per megawatt of previous generations for agentic workloads. Open article →